research-personas

Name: research-personas
Availability: InStock
Author: Tarun

Synthesize raw research data into three user personas with JTBD, pains, gains, and insights.

5|2|Updated Mar 27, 2026

Search Tags:#research #insights #persona #user-research #product-strategy #jtbd #user-segmentation

Ready to run

npx skills add https://github.com/tarunccet/pm-skills --skill research-personas

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-personas
Source: https://github.com/tarunccet/pm-skills/tree/main/pm-market-research/skills/research-personas
Command: npx skills add https://github.com/tarunccet/pm-skills --skill research-personas

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Create 3 refined user personas from research data — JTBD, pains, gains, and unexpected insights — to guide product decisions.

Core Features & Use Cases

Generate three distinct, research-backed personas from interviews, surveys, transcripts, or other data sources.
Extract jobs-to-be-done, pains, gains, demographics, and surprising insights to inform strategy and design.
Use for segmentation, messaging, and feature prioritization in product planning.

Quick Start

Provide your research data (CSV, transcripts, or survey results) and I will generate 3 personas with JTBD, pains, gains, and insights.

Frequently Asked Questions about research-personas

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I create user personas from raw research data?▼

Yes, you can generate research-backed personas from survey results by inputting the raw data. The synthesis process extracts distinct demographics, jobs-to-be-done, pains, gains, and unexpected insights from your survey data to inform product strategy.

What is the best way to extract jobs-to-be-done from interview transcripts?▼

Extracting jobs-to-be-done from interview transcripts involves structured analysis of user inputs to identify core tasks. This synthesis produces 3 refined personas, each detailing specific jobs-to-be-done, pains, gains, and an unexpected insight for feature prioritization.

Can I use this for user segmentation from usability study outputs?▼

Yes, you can use usability study outputs to generate 3 distinct personas for user segmentation. The analysis extracts demographics, pains, gains, and jobs-to-be-done, providing structured outputs to inform messaging and product planning.

Does generating personas this way work for product strategy and feature prioritization?▼

Generating personas this way directly supports product strategy and feature prioritization. It synthesizes research into 3 refined personas with jobs-to-be-done and unexpected insights, providing a clear framework for design decisions and messaging.